On Tue, 12 Sep 2023 13:54:34 GMT, Roger Riggs <rri...@openjdk.org> wrote:
> You haven't make the case for these changes, please describe the use cases > when performance is a significant constraint on application performance. The > changes largely just add more code to maintain without otherwise adding > sufficient value. Many scenarios require this optimization, such as: 1. The open source project [datax](https://github.com/alibaba/datax) is a data integration engine we maintain. When the input is a Date but the target type is String, the Date must be converted to String. In the flame graph below, commons-lang's FastDateFormat::format method consumes most of the time. It will be similar if replaced by DateTimeFormatter::format.  2. JSON libraries such as gson/jackson/fastjson need to convert Date/Instant into String, and format/toString usually takes up a relatively large proportion of time. ------------- PR Comment: https://git.openjdk.org/jdk/pull/15658#issuecomment-1715842265
